Otter MCP

Connect your Otter.ai account to give your AI assistant access to meeting transcripts, notes, summaries, and action items.

Overview

The Otter integration lets your AI:

Search Transcripts - Search across all your meeting transcripts by topic, keyword, or date
Get Meeting Summaries - Retrieve AI-generated summaries and action items for specific meetings
List Meetings - Browse recent meetings with metadata and participant information

Prerequisites

An Otter.ai account
Otter.ai access token
Builder plan or higher on Chipp

Getting Your Otter Access Token

Go to Otter.ai and log in
Navigate to your account settings
Find the MCP Server or API section
Copy your access token

ℹ️

Otter’s MCP server uses Bearer token authentication. Contact Otter support if you need help setting up MCP access for your workspace.

Connecting Otter to Chipp

Go to build.chipp.ai and open your app
Click Build in the sidebar
Scroll to the Connect card
Click Add Pro Action
Find Otter in the integration list
Paste your access token
Click Save

Once connected, you can enable the following tools:

Search Transcripts - Search meeting transcripts across all time periods
Get Meeting Summary - Get AI-generated summary and action items from a meeting
List Meetings - List recent meetings with metadata and participants

Available Tools

Search Transcripts

Search across all your meeting transcripts for specific topics, keywords, or participants.

Returns: Matching transcript segments with meeting title, date, and context

Example:

plaintext

User: "Find all meetings where we discussed the product launch timeline"

AI: I found 3 meetings mentioning the product launch timeline:

1. **Q1 Planning Meeting** (Jan 15, 2026)
   - "Product launch is targeted for March 15th..."

2. **Engineering Standup** (Jan 22, 2026)
   - "Launch timeline needs to shift to March 22nd due to..."

3. **Executive Review** (Feb 3, 2026)
   - "Final launch date confirmed for March 20th..."

Get Meeting Summary

Retrieves the AI-generated summary for a specific meeting, including key points, decisions, and action items.

Returns: Meeting summary with key points, action items, and decisions

Example:

plaintext

User: "Get the summary for the Q1 Planning meeting"

AI: Here's the summary:

**Key Points:**
- Q1 revenue target set at $2.5M
- New product launch scheduled for March
- Engineering team expanding by 3 hires

**Action Items:**
- Sarah: Finalize marketing plan by Jan 20
- Mike: Complete hiring plan for engineering
- Team: Weekly check-in every Tuesday at 10am

**Decisions:**
- Go with Option B for pricing strategy
- Delay the mobile app launch to Q2

List Meetings

Lists your recent meetings with metadata including date, duration, and participants.

Returns: List of meetings with title, date, duration, and participant names

Example:

plaintext

User: "Show me my meetings from this week"

AI: Here are your meetings this week:

1. **Monday Standup** - Feb 24, 2026 (15 min)
   Participants: You, Sarah, Mike, Alex

2. **Product Review** - Feb 24, 2026 (45 min)
   Participants: You, Lisa, David

3. **Customer Call - Acme Corp** - Feb 25, 2026 (30 min)
   Participants: You, John, Jane (Acme)

Example Workflows

Meeting Recap Assistant

System prompt:

plaintext

You help users catch up on meetings they missed. When asked about
a meeting, search their Otter transcripts to find it, then
provide a summary and key action items.

User interaction:

plaintext

User: "What did I miss in yesterday's product review?"

AI: Let me check your recent meetings...

[Calls: List Meetings]
[Calls: Get Meeting Summary for product review]

Yesterday's product review covered:
- The dashboard redesign is 80% complete
- User testing feedback was mostly positive
- Action item: You were assigned to review the new onboarding flow
- Next review scheduled for Thursday

Cross-Meeting Insights

System prompt:

plaintext

You help users find patterns and recurring topics across their
meetings. Search transcripts to identify trends and track
decision history.

User interaction:

plaintext

User: "What has been said about our pricing strategy in the last month?"

AI: [Calls: Search Transcripts for "pricing strategy"]

Here's what I found across 4 meetings:

- **Jan 28**: Initial pricing discussion - three options proposed
- **Feb 3**: Executive review narrowed to Options A and B
- **Feb 10**: Customer feedback favored Option B
- **Feb 17**: Final decision to go with Option B at $29/mo

The team converged on Option B based on customer feedback data.